Prometheus is a go-to solution for monitoring containerized environments. This detailed guide will walk you through setting up Prometheus for Docker, helping you achieve robust monitoring for your containerized applications.

Achieving modern observability with a unified data platform and Search AI If you have a love-hate relationship with your data, we don’t blame you. It’s generated at high velocity and from all sides — your apps, endpoints, networks, and servers. By 2025, global data creation is projected to grow by more than 180 zettabytes.* Inside this wealth of data lies better operational resilience, profitability, and innovation.

Did you know you can use variables in class expressions? If you are reading this, you probably are already familiar with the ability to use class expressions to restrict the context of multiple promises. For example, here we have three reports type promises, all guarded by the class expression linux::.

GenAI promises evolutionary changes in how we use observability tools, but meeting expectations means heeding the lessons of our AIOps mistakes. The emergence of generative AI in observability tools was inevitable, but there’s already been an extreme degree of hype in the market. Monitoring, DevOps and ITOps have never been immune to trends, and with GenAI capabilities, the propagandahype machine is running out of control.

Organizations often assume that switching to Amazon Web Services (AWS) will automatically reduce their on-premises spending. Certainly, cloud-based services like AWS’ Infrastructure-as-a-Service (IaaS) can offer significant cost savings. Yet overspending on AWS is quite common. How can you tell if moving to AWS is the right decision? What figures would you use to quantify and justify that choice to decision-makers? Enter Total Cost of Ownership (TCO) on AWS.